AI Model Reviewer

GPT-6 Astra in Codex CLI 0.156.1

skills on · Codex CLI 0.156.1 + default skills kitKit: default (46 web/Three.js/QA + 33 video) · 79 skills installed; skill use not recorded

← Open in the gallerySame prompt, all models

Zoom, inline player and more ways to view
Poster frame of GPT-6 Astra's page
Open the original page

The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. It starts in its auto-tour (T switches to play mode on a keyboard).

OKImpressionist worldmax effortNeutral harness

Wall time 23m 50sCost $3.37 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 23.8 min.

Scores

AI judge

Not scored

No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
Visitors
Public voting with a blind reveal is coming: you score the output first, then see the other scores.
Reviewer
The reviewer's own grade appears here once it is added.

Scores compare results for the same prompt only. AI-judge boards rank runs within one prompt, equal totals sharing a rank; scores from different prompts are never averaged.

Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 1,074 characters. Every result for this prompt

Build a real-time 3D world in Three.js that looks like a living impressionist oil painting (one HTML file, CDN imports only, no external assets or textures; everything procedural). The whole frame must read as painted, not as a 3D render with a filter: a brush-stroke post-process (oriented, varied-size strokes that follow surface direction and color, visible canvas grain), a painterly sky with broken-color clouds, water with dappled reflections of the sky and shore, and a small landscape (garden, footbridge or shoreline, trees, flowers). Add falling snow that is painted too, and flocks of birds flying through the scene. Include two or three painted figures; clicking one opens a short in-world dialogue in a hand-lettered caption style. Interactive camera (orbit plus a gentle walk mode), a time-of-day slider that shifts the palette from cool morning to warm dusk, and a toggle that compares the painted view with the plain render. Must stay smooth on a laptop and usable on a phone (touch controls, adaptive quality). It should feel like stepping into a painting.

How it was made

Wall time 23m 50sFirst artifact at 14m 16s3 saved versions

Versions saved during the run

3 intermediate outputs, in the order the model wrote them.

Version 3 of 3
  1. Version 1 at 14m 19s thumbnailv1 14:19
  2. Version 2 at 19m 16s thumbnailv2 19:16
  3. Version 3 at 23m 43s thumbnailv3 23:43

No transcript was delivered with this result.

Cost breakdown

Headline cost $3.37, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)18$10.00$0.0002
Cache write64,770$10.00$0.6477
Cache read205,859$1.00$0.2059
Output50,319$50.00$2.5160
of which reasoning17,339billed as output
Total computed from tokens
$3.3697
Total reported by the harness
none

Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price).

Prices: Project price table (vendor list prices), 2026-09-22.

Run notes

one prompt, agentic harness (self-review allowed)

  • frozen prompt (written): written 2026-10-08 from an X link by publisher v15; original prompt, not their code; zero results
  • plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
  • default skills on: 79 skills in this run's codex_home/skills
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: outside paths seen
  • Renderer: Three.js r169 (0.169.0) loaded as ES modules from the jsDelivr CDN through an import map (index.html line 130), driving a WebGLRenderer (line 554) over a canvas, with an HTML/inline-SVG control panel, in one HTML file; no local assets.
  • Card video: none (the run's video.mp4 is not H.264 yuv420p with 30+ frames under 24 MB). Poster: the run's own render.png.